US8671167B2 - System for providing demand response services - Google Patents
System for providing demand response services Download PDFInfo
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- US8671167B2 US8671167B2 US12/834,841 US83484110A US8671167B2 US 8671167 B2 US8671167 B2 US 8671167B2 US 83484110 A US83484110 A US 83484110A US 8671167 B2 US8671167 B2 US 8671167B2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9032—Query formulation
- G06F16/90332—Natural language query formulation or dialogue systems
Definitions
- the invention pertains to utility resources and particularly to assessment and distribution of the resources. More particularly, the invention pertains to beneficial management of resources and their loads.
- the invention is a system for providing demand response services relative to a resource.
- Demand response information may be conveyed by a provider of the resource to a demand response logic.
- the logic may translate the demand response information to one of a pre-defined finite amount or number of demand response levels. These levels may be translated to device states, and in turn the device states may be translated to device commands. The translations may be based on rules which can be easily changed.
- the commands may be provided to devices at one or more facilities.
- the devices may control loads, which consume the resource, in accordance with the device commands.
- the devices may also provide information, such as conditions and resource consumption, relative to the facilities to the provider of the resource.
- the commands and information may be communicated via local and wide networks.
- FIG. 1 is a diagram showing an overall architecture of the present system
- FIG. 2 is a diagram of steps or stages involved in the translation of demand-response related information into device specific commands and messages;
- FIG. 3 is a diagram of an incorporation of facility wide requirements into a translation process
- FIG. 4 is a diagram illustrating demand-response level translation rules
- FIGS. 5 a and 5 b are diagrams depicting demand-response level-to-device state translation rules.
- FIGS. 6 a and 6 b are diagrams depicting device state-to-command translation.
- the present system may be used to provide demand response services.
- the term “demand response” may also be referred to as “DR”, “demand-response”, or other term that reasonably indicates “demand response”.
- a demand response may be defined as a process wherein a utility, provider or independent system operator (utility/ISO) that is responsible for providing a resource (such as electricity) issues some sort of information to a customer/recipient/facility/user (customer or customers) with an intention of affecting the customers' consumption of that resource during some critical period of time.
- a focus may be on electricity as an example of the resource in question.
- the present system may focus on other resources such as water.
- Customers which consume the resource in question could typically be facilities that may be managed by so-called facility owners. Facilities may include residences, commercial buildings, industrial facilities, and the like.
- Reasons may include: 1) A shortage of the resource resulting in potential disruption of service; 2) Price fluctuations of the resource in the marketplace; 3) A need to modulate usage to manage a resource distribution network; and 4) a need to shift usage to different time periods with the goal of more efficiently utilizing both the generation and distribution of the resource.
- the present system may support virtually all of the scenarios described herein including other scenarios since the system includes a generalized approach which is not dependent upon a specific reason for initiating a demand-response action.
- information provided by a utility/ISO may include: 1) Resource prices; 2) Specific instructions for shedding a certain amount of the resource; 3) Supply and distribution reliability; and 4) Resource generation attributes.
- the present system useable by customers for responding to demand-response related information provided by the utility/ISO, may utilize the following items: 1) Communicating devices within facilities that may receive instructions and based upon those instructions could change the way in which equipment in the facility consumes the resource; henceforth, the equipment and entities that consume the resource may be referred to as “loads”, and examples of such devices that control loads might be intelligent thermostats, lighting controls and appliances; also, the states of these devices and the loads that they control may be affected in some automated fashion by sending commands to the devices which control the loads; and these commands may come from entities outside the facility or come from some sort of control system within the facility itself; 2) Communicating devices within facilities that may measure and report a variety of information concerning the operation of the facility, of which examples can include meters that measure electricity consumption and devices that can report the state of various loads; and 3) Intermediaries that may be referred to as demand-response service providers which are responsible for managing the operation of the loads in a facility in response to demand-response actions that are initiated by
- the present system may focus on a process utilized by a demand-response service provider to translate the demand-response related information provided by the utility/ISO into appropriate commands and messages for specific devices within the facility.
- Architecture 100 may include a utility/ISO/provider 101 that provides the resource and is responsible for initiating a demand-response action by providing or publishing multiple types of demand-response related information 103 of multiple types.
- Architecture 100 may also include a facility/recipient/user/customer (facility) 104 that contains loads which consume the resource provided by the utility/ISO 101 .
- There may be one or more facilities. The loads in facility 104 may be both measured and controlled by a variety of devices 106 within the facility.
- Each of these devices 106 may be capable of communicating with other devices 106 , either amongst themselves or as part of some local area communications network 115 within the facility or via some wider or wide area network 105 outside the facility 104 .
- Examples of local area communications 115 may include wireless networks such as ZigBeeTM, power line communications, and others.
- the wide area communications 105 may include examples such as the internet and broadband communications, and also advanced metering infrastructures (AMI). Wide area network 105 may be an approach by which entities outside a facility 104 can communicate with devices 106 within the facilities 104 .
- AMI advanced metering infrastructures
- AMI may be regarded as a smart meter that can identify resource consumption in more detail than a conventional meter. It may communicate information via a network back to a local utility for monitoring and/or billing. The meter may also receive information from a utility to issue shed strategies within a consumer's facility, such as a home.
- the diagram of FIG. 1 depicts each of the devices 106 communicating over the wide area network 105 .
- the diagram may depict a logical information flow and not necessarily imply that each device is physically capable of communication over the wide area network. It is anticipated that each of the devices 106 may communicate via the local area network 115 with some other entity that will proxy communications between the devices and other entities outside the facility 104 over the wide area network 105 . Examples of such proxies may be intelligent meters that are part of AMI deployments or other gateways/routers and controllers within the facility.
- the demand-response service provider 102 may take information 103 provided or published by the utility/ISO 101 concerning demand-response actions and facility device data 110 , and translate that information and data into appropriate device commands 107 which are sent to the facility 104 .
- a purpose of this translation may be for assuring that the facility 104 responds in the most appropriate manner to the demand-response information 103 provided by the utility/ISO 101 .
- a translation process may be provided by the demand-response logic 109 .
- Demand-response logic 109 may depend upon a variety of information, including: 1) User preferences 114 that specify the facility-wide requirements for how to respond to demand-response actions; 2) Device configurations 113 that provide requirements for how individual devices 106 should respond to demand-response actions; and 3) Facility device data logs 112 that provide information about the state of a facility 104 including things like meter data and device states.
- Facility device data 110 may be provided by facility 104 to the facility device data logs 112 .
- Device data 110 as might be conditioned or controlled by communications management information 117 from communications management 108 , may be forwarded on from device data logs 112 to logic 109 .
- An output of the demand-response logic 109 may be a set of device specific commands and messages that are communicated to a facility 104 via a communications management approach or module 108 and the network communications infrastructure 105 .
- the communications management module 108 may know how to send a message to the devices 106 and rely on device communication configurations 111 which provide information that specifies how the demand-response service provider 102 should communicate with specific devices 106 within the facility 104 .
- a demand-response information to a device command translator 210 approach or module is shown in a diagram of FIG. 2 .
- the diagram shows a breakdown of the translation process for turning demand-response information 103 provided by or published from utility/ISO 101 into a set of specific device commands 107 targeted for a specific device 106 .
- a wide range of different types of information may be provided or published by the utility/ISO 101 in the form of demand-response information and likewise there may be a wide range of different devices 106 that can exist in the facility 104 , each of which may support a wide range of functionalities and commands.
- the translation process may be broken down into a number of steps or stages, each of which can be performed by applying a set of specified rules. By this break-down, virtually the entire process may be customized for specific scenarios of resource usage.
- the translation process may begin with a step or stage 206 which takes the demand-response information 103 , the facility device data 110 (as might be conditioned or controlled by communications management information 117 from communications management 108 at data logs 112 ) from facility device data logs 112 , and user preferences 114 , and applies a set of rules to produce a demand-response level 205 .
- a step or stage of the translation process may be regarded as a translator.
- the set of rules may be designed to effect a desired output, such as a level 205 , from stage 206 .
- the demand-response level 205 may be one of a pre-defined finite set or number of enumerated values or levels 205 , such as, for example, normal operation, moderate shed, and high shed, that represents an overall level that a facility 104 should respond to.
- the levels may include a level to which a facility should try to reduce its consumption in very simple qualitative terms, even though the level is not necessarily a requirement.
- a finite collection or number may mean a reasonably manageable amount or number. Examples may be 2, 3, 10, and so on. Finite does not necessarily mean just short of infinite which could indicate an unreasonable or unmanageable amount or number.
- the next step or stage of the translation process may be depicted by item 207 and take the finite set or number of one or more demand-response levels 205 and translate one or more of them into a device specific state 203 or states 203 .
- This translation step or stage may utilize the facility device data 110 and a user defined device configuration 204 from a device configurations database 113 .
- the device state 203 may represent the state that device 106 should be in.
- a final translation step or stage may be depicted by a device state to device command translation 201 and may take a desired device state 203 and create a set of one or more device specific commands 107 by utilizing the type specific device configuration 202 from device configurations 113 .
- An output of this step or stage may be the set of device specific commands 107 that can be communicated to device 106 within facility 104 .
- Level 205 may set a value which is carried consistently as a state 203 and command 107 through the remainder of the demand response provider 102 ( FIG. 1 ) to devices 106 of facility 104 .
- Provider 102 may include steps or stages 206 , 207 and 201 of the translation process (e.g., translators 206 , 207 and 201 ) that adapt level 205 , in accordance with facility device data 110 , user defined device configuration 204 , type specific device configuration 202 , and other items as needed, for providing appropriate device commands 107 to devices 106 .
- Steps or stages 206 , 207 and 201 of the translation process may be based on rules.
- the rules may be designed for one or more scenarios for usage of he one or more resources.
- the device commands 107 may be transmitted to device 106 using the message delivery infrastructure 208 .
- the message delivery infrastructure 208 or communications module 208 may incorporate portions of communications management 108 , device communication configurations 111 , network communications infrastructure 105 and local communications network 115 as shown in FIG. 1 .
- FIG. 3 is a diagram of demand response logic 109 for providing command messages 107 to a multitude of devices 106 via the message delivery infrastructure 105 . Incorporating facility wide requirements may be noted. Whereas FIG. 2 shows the translation process as it may be applied to a specific device 106 ; FIG. 3 depicts the translation process as it might be applied to virtually all of the devices 106 within a facility 104 . The process may also be applied to a multitude of facilities 104 .
- a difference in this process appears to be an addition of user defined facility wide constraints 302 (e.g., maximum demand-response level) that are used by a constraint filter 301 , which may constrain an event state or demand-response level 205 from the translate demand-response information to one of a number of finite event states (demand response levels) 206 which receives demand-response information 103 and facility device data 110 , to produce demand-response levels 303 that take into account a facility 104 as a whole.
- user defined facility wide constraints 302 e.g., maximum demand-response level
- a constraint filter 301 may constrain an event state or demand-response level 205 from the translate demand-response information to one of a number of finite event states (demand response levels) 206 which receives demand-response information 103 and facility device data 110 , to produce demand-response levels 303 that take into account
- a facility owner may decide that, regardless of the demand-response level which is indicated by the translation step or stage 206 of demand response logic 109 , the facility will not necessarily respond above a certain level, including not at all.
- each of the specific devices 106 may now be differentiated and receive its own version of the demand-response level.
- the facility wide demand response signals 303 may progress through the respective device demand-response level to device state translator 207 which outputs device specific states 203 .
- the states 203 may go to a type device state to device command translator 201 which outputs command messages 107 to the respective device 106 of a facility 104 .
- FIG. 4 illustrates an approach 206 for translating demand-response information 103 and facility device data 110 to one or more demand-response levels 205 . Because the demand-response levels 205 may represent a finite set of simple qualitative states, the task of converting the demand-response information 103 may be simplified.
- Each possible state of a demand-response level 205 may be associated with an elegant set of logical rules in translator 401 that takes into account the various sources, utility/ISO 101 and facility device data logs 112 , of information, which may include prices in the demand-response information 103 , the date and time, facility device data 110 , such as meter information, and additional user defined parameters, including possibly whether to opt out of responding to demand-response actions.
- Sources 101 and 112 of information 103 and 110 may allow a specification of a rich set of rules that are easy to specify and construct user interfaces to aid in the specification process.
- the translation approach 206 is shown in a diagram of FIG. 4 . These rules may be specified either by a facility owner or by the demand-response services provider on behalf of the facility owner. These rules may be easily drafted, changed or redone by nearly anyone to suit a need or intent of the recipient and/or provider of the demand-response services.
- the rules may be a basis for indicating the demand-response levels as being pre-defined or pre-determined.
- FIGS. 5 a and 5 b illustrate details of the process of translating demand response levels 205 to device states 503 , 504 for two example devices X and Y, respectively.
- a basis of translator 207 may be a set of rules. These rules may be easily drafted, changed or redone by nearly anyone to suit a need or intent of the recipient and/or provider of the demand-response services.
- FIG. 5 a shows one set of rules 505 of the device demand-response level to device state translator 207 , for a device such as a switch with a simple ON or OFF state.
- the rules shown in translator 501 depict example rules when to turn on or off the switch represented by device X.
- the rules cited as an instance in FIG. 5 a may state the following.
- FIG. 5 b shows another set of rules 506 indicating how a different device type could have a different set of possible device states.
- the rules of another device demand-response level to device state translator 207 may be for a thermostat that may have temperature set points as its state.
- the rules shown in translator 502 depict example rules that dictate how much to turn up or down the thermostat represented by device Y.
- the process of translating those into specific device states 503 , 504 , respectively, may also be relatively simple and include things such as date and time.
- the rules may consist of a set of easy to specify logical operations.
- the levels may also simplify a task of constructing user interfaces to aid in the rule specification process.
- the rules may be specified either by the facility owner or by the demand-response services provider on behalf of the facility owner.
- the rules cited as an instance in FIG. 5 b may state the following.
- Translating device states to device commands may be noted.
- a basis of translator 201 may be a set of rules. These rules may be easily drafted, changed or redone by nearly anyone to suit a need or intent of the recipient and/or provider of the demand-response services.
- a final step in the translation process at items 201 may be to convert the device states 503 , 504 into device specific commands 605 , 606 to example devices X and Y, respectively, with rules 603 , 604 , translators 601 and 602 .
- This step does not necessarily require that the user pre-specify any rules, since the step may be virtually completely dependent upon the device type.
- each type of device 106 may have a type specific device configuration ( 202 in FIG. 2 ) that specifies a set of possible device states and fixed rules for converting or translating device states to device commands.
- switch or “thermostat” that may be translated into specific device commands, depending upon how a specific device in the facility is implemented.
- switch A may support a different command for turning it ON or OFF than that supported by switch B, but both switches may support device states ON and OFF.
- the translation process in this step at item 201 may be dependent upon the specific device that exists within the facility.
- An example of contents for translator 601 may state the following.
- An example of contents for translator 602 may state the following.
Abstract
Description
-
- If (start_time<DR data/time<end_time) AND (low_price<DR price<med_price) AND (low_usage<meter_data<med_usage)
- Then DR Level=MODERATE
- If (start_time<DR data/time<end_time) AND (med_price<DR price) AND (med_usage<meter_data)
- Then DR Level=HIGH
- Else
- DR Level=NORMAL
-
- Rules for device X−type=SWITCH
- (possible device states—ON/OFF)
- If Date/Time=Summer
- DR Level=NORMAL then Device State=UNCHANGED
- DR Level=HIGH then Device State=OFF
- DR Level=HIGH then Device State=OFF
- If Date/Time=Winter
- DR Level=NORMAL then Device State=UNCHANGED
- DR Level=MODERATE then Device State=OFF
- DR Level=HIGH then Device State=OFF
-
- Rules for device Y−type=THERMOSTAT
- (possible device states—temp setting
- If Date/Time=Summer
- DR Level=NORMAL then Device State=+0
- DR Level=MODERATE then Device State=30 1 degree
- DR Level=HIGH then Device State=OFF=+2 degree
- If Date/Time=Winter
- DR Level=NORMAL then Device State=+0
- DR Level=MODERATE then Device State=−2 degree
- DR Level=HIGH then Device State=−2 degree
-
- Translation for device X−type=SWITCH
- (possible device states—ON/OFF)
- If device state=OFF then Device Command=TURN_OFF
- If Device State=ON then Device Command=TURN_ON
-
- Translation for Device Y−type=THERMOSTAT
- CHANGE_SETTING number of degrees
Claims (17)
Priority Applications (15)
Application Number | Priority Date | Filing Date | Title |
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US12/834,841 US8671167B2 (en) | 2009-07-17 | 2010-07-12 | System for providing demand response services |
CN201080041415.3A CN102483735B (en) | 2009-07-17 | 2010-07-13 | For the system of demand response service is provided |
PCT/US2010/041852 WO2011008775A2 (en) | 2009-07-17 | 2010-07-13 | System for providing demand response services |
CN201610233078.7A CN105786627B (en) | 2009-07-17 | 2010-07-13 | For providing the system of demand response service |
US13/019,943 US8782190B2 (en) | 2009-07-17 | 2011-02-02 | Demand response management system |
US13/153,251 US8572230B2 (en) | 2009-07-17 | 2011-06-03 | System for using attributes to deploy demand response resources |
US13/272,086 US8676953B2 (en) | 2009-07-17 | 2011-10-12 | Use of aggregated groups for managing demand response resources |
US13/299,716 US9137050B2 (en) | 2009-07-17 | 2011-11-18 | Demand response system incorporating a graphical processing unit |
IN484DEN2012 IN2012DN00484A (en) | 2009-07-17 | 2012-01-17 | |
US13/364,612 US8671191B2 (en) | 2009-07-17 | 2012-02-02 | Installation system for demand response resources |
US13/548,110 US8667132B2 (en) | 2009-07-17 | 2012-07-12 | Arrangement for communication about and management of a resource using a mobile device |
US14/056,894 US9124535B2 (en) | 2009-07-17 | 2013-10-17 | System for using attributes to deploy demand response resources |
US14/327,460 US9183522B2 (en) | 2009-07-17 | 2014-07-09 | Demand response management system |
US14/931,746 US9818073B2 (en) | 2009-07-17 | 2015-11-03 | Demand response management system |
US15/804,717 US10762454B2 (en) | 2009-07-17 | 2017-11-06 | Demand response management system |
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US12/834,841 US8671167B2 (en) | 2009-07-17 | 2010-07-12 | System for providing demand response services |
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US13/153,251 Continuation-In-Part US8572230B2 (en) | 2009-07-17 | 2011-06-03 | System for using attributes to deploy demand response resources |
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150018985A1 (en) * | 2013-07-11 | 2015-01-15 | Honeywell International Inc. | Predicting responses of resources to demand response signals and having comfortable demand responses |
US9537313B2 (en) | 2012-12-07 | 2017-01-03 | Battelle Memorial Institute | Method and system for using demand side resources to provide frequency regulation using a dynamic allocation of energy resources |
US10116136B2 (en) | 2015-03-19 | 2018-10-30 | Battelle Memorial Institute | Primary frequency control through simulated droop control with electric loads |
US20190165578A1 (en) * | 2017-11-30 | 2019-05-30 | Abb Schweiz Ag | Systems and methods for performing building power management |
US10324429B2 (en) | 2014-03-25 | 2019-06-18 | Honeywell International Inc. | System for propagating messages for purposes of demand response |
US10541556B2 (en) | 2017-04-27 | 2020-01-21 | Honeywell International Inc. | System and approach to integrate and manage diverse demand response specifications for multi-site enterprises |
US10762454B2 (en) | 2009-07-17 | 2020-09-01 | Honeywell International Inc. | Demand response management system |
Families Citing this family (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8073558B2 (en) | 2007-10-05 | 2011-12-06 | Honeywell International Inc | Critical resource notification system and interface device |
US9137050B2 (en) | 2009-07-17 | 2015-09-15 | Honeywell International Inc. | Demand response system incorporating a graphical processing unit |
US8671191B2 (en) | 2009-07-17 | 2014-03-11 | Honeywell International Inc. | Installation system for demand response resources |
US8667132B2 (en) | 2009-07-17 | 2014-03-04 | Honeywell International Inc. | Arrangement for communication about and management of a resource using a mobile device |
US9124535B2 (en) | 2009-07-17 | 2015-09-01 | Honeywell International Inc. | System for using attributes to deploy demand response resources |
US8676953B2 (en) | 2009-07-17 | 2014-03-18 | Honeywell International Inc. | Use of aggregated groups for managing demand response resources |
US8782190B2 (en) | 2009-07-17 | 2014-07-15 | Honeywell International, Inc. | Demand response management system |
US8572230B2 (en) * | 2009-07-17 | 2013-10-29 | Honeywell International Inc. | System for using attributes to deploy demand response resources |
KR20110099542A (en) * | 2010-03-02 | 2011-09-08 | 삼성전자주식회사 | Demand response system |
KR20110119324A (en) * | 2010-04-27 | 2011-11-02 | 엘지전자 주식회사 | A smart control device |
KR101749761B1 (en) * | 2010-12-15 | 2017-06-22 | 한국전자통신연구원 | Load control apparatus and method for advanced metering infrastructure network |
US20120053746A1 (en) * | 2011-01-03 | 2012-03-01 | General Electric Company | Smart energy device reporting "opt-out" autonomously depending on user settings |
US8630744B2 (en) | 2011-01-28 | 2014-01-14 | Honeywell International Inc. | Management and monitoring of automated demand response in a multi-site enterprise |
US8626354B2 (en) | 2011-01-28 | 2014-01-07 | Honeywell International Inc. | Approach for normalizing automated demand response events in energy management control systems |
US9153001B2 (en) | 2011-01-28 | 2015-10-06 | Honeywell International Inc. | Approach for managing distribution of automated demand response events in a multi-site enterprise |
US9310786B2 (en) | 2011-06-17 | 2016-04-12 | Siemens Industry, Inc. | Automated demand response scheduling to reduce electrical loads |
US9140576B2 (en) | 2012-01-23 | 2015-09-22 | General Electric Company | Demand response without Time-of-Use metering |
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US20150005968A1 (en) * | 2013-07-01 | 2015-01-01 | Enernoc, Inc. | Apparatus and method for determining device participation in an energy management program |
US9691076B2 (en) | 2013-07-11 | 2017-06-27 | Honeywell International Inc. | Demand response system having a participation predictor |
US20150019037A1 (en) * | 2013-07-11 | 2015-01-15 | Honeywell International Inc. | System having customer defined demand response signals |
US10346931B2 (en) | 2013-07-11 | 2019-07-09 | Honeywell International Inc. | Arrangement for communicating demand response resource incentives |
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US20200057645A1 (en) * | 2018-08-16 | 2020-02-20 | Tachyum Ltd. | System and method for location aware processing |
CN109447456B (en) * | 2018-10-24 | 2022-07-22 | 国网四川省电力公司南充供电公司 | Wind power grid-connected power system planning method considering short-term demand response |
Citations (137)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4110827A (en) | 1976-10-29 | 1978-08-29 | Honeywell Inc. | Load cycling with space temperature feedback |
US4130874A (en) | 1977-06-13 | 1978-12-19 | Westinghouse Electric Corp. | Load management terminal having plural selectable address formats for a power line communication system |
US4153936A (en) | 1977-09-26 | 1979-05-08 | Reliance Electric Company | Energy management system |
US4419667A (en) | 1979-07-02 | 1983-12-06 | Sangamo Weston, Inc. | System for controlling power distribution to customer loads |
US4850010A (en) | 1985-11-25 | 1989-07-18 | Alcatel N.V. | Telemetry terminal |
US4937760A (en) * | 1988-09-19 | 1990-06-26 | International Business Machines Corporation | Method for sharing common values implicitly among communicating generative objects |
US5341142A (en) * | 1987-07-24 | 1994-08-23 | Northrop Grumman Corporation | Target acquisition and tracking system |
US5500561A (en) | 1991-01-08 | 1996-03-19 | Wilhelm; William G. | Customer side power management system and method |
US5566084A (en) | 1993-03-02 | 1996-10-15 | Cmar; Gregory | Process for identifying patterns of electric energy effects of proposed changes, and implementing such changes in the facility to conserve energy |
US5572438A (en) | 1995-01-05 | 1996-11-05 | Teco Energy Management Services | Engery management and building automation system |
US5598349A (en) | 1994-10-25 | 1997-01-28 | Honeywell Inc. | Responding to pricing signals from a power supplier using mixed add/shed and profile setback delta schemes |
US5719854A (en) | 1994-11-23 | 1998-02-17 | Lucent Technologies Inc. | Efficiently providing multiple grades of service with protection against overloads in shared resources |
US5822553A (en) | 1996-03-13 | 1998-10-13 | Diamond Multimedia Systems, Inc. | Multiple parallel digital data stream channel controller architecture |
US5892758A (en) | 1996-07-11 | 1999-04-06 | Qualcomm Incorporated | Concentrated subscriber wireless remote telemetry system |
US6026375A (en) | 1997-12-05 | 2000-02-15 | Nortel Networks Corporation | Method and apparatus for processing orders from customers in a mobile environment |
US6195367B1 (en) | 1997-12-31 | 2001-02-27 | Nortel Networks Limited | Architectural arrangement for bandwidth management in large central offices |
US6209018B1 (en) | 1997-11-13 | 2001-03-27 | Sun Microsystems, Inc. | Service framework for a distributed object network system |
US6252950B1 (en) | 1998-09-30 | 2001-06-26 | Lucent Technologies Inc. | Predictive bursty real-time traffic control for telecommunications switching systems |
US6259723B1 (en) | 1997-05-20 | 2001-07-10 | Fujitsu Limited | Data communication system |
US6278717B1 (en) | 1996-09-05 | 2001-08-21 | Hughes Electronics Corporation | Dynamic mapping of broadcast resources |
US6289384B1 (en) | 1998-06-05 | 2001-09-11 | I2 Technologies, Inc. | System and method for event notification through a firewall |
US6366926B1 (en) | 1998-12-31 | 2002-04-02 | Computer Associates Think, Inc. | Method and apparatus for the dynamic filtering and routing of events |
US6446136B1 (en) | 1998-12-31 | 2002-09-03 | Computer Associates Think, Inc. | System and method for dynamic correlation of events |
US20030016237A1 (en) * | 2001-03-08 | 2003-01-23 | Neil Hickey | System for and method of emulating a database system |
US6519509B1 (en) | 2000-06-22 | 2003-02-11 | Stonewater Software, Inc. | System and method for monitoring and controlling energy distribution |
US20030033230A1 (en) | 2001-08-06 | 2003-02-13 | Mccall John E. | Method and system for presenting customized advisory information |
US6529723B1 (en) | 1999-07-06 | 2003-03-04 | Televoke, Inc. | Automated user notification system |
US6566926B1 (en) | 2002-06-25 | 2003-05-20 | Intel Corporation | Hysteretic self-biased amplifier |
US6574581B1 (en) | 1994-10-25 | 2003-06-03 | Honeywell International Inc. | Profile based method for deriving a temperature setpoint using a ‘delta’ based on cross-indexing a received price-point level signal |
US20030135508A1 (en) * | 2001-11-21 | 2003-07-17 | Dominic Chorafakis | Translating configuration files among network devices |
US20030233064A1 (en) | 2002-04-24 | 2003-12-18 | Interpore Orthopaedics | Blood separation and concentration system |
US20040034484A1 (en) | 2002-06-24 | 2004-02-19 | Solomita Michael V. | Demand-response energy management system |
US20040078154A1 (en) | 2001-06-28 | 2004-04-22 | Hunter Robert R. | Method and apparatus for reading and controlling utility consumption |
US20040137897A1 (en) | 2003-05-06 | 2004-07-15 | Joe Teixeira | Flow-through using an automated main distribution frame |
US20040203649A1 (en) | 2002-07-22 | 2004-10-14 | Cashiola James P. | System and method for rating communications services provisioned on demand in converging telecommunications networks |
US6832249B2 (en) | 2000-05-19 | 2004-12-14 | Intellectual Ventures Patent Holdings Iii, Llc | Globally accessible computer network-based broadband communication system with user-controllable quality of information delivery and flow priority |
US20050027636A1 (en) | 2003-07-29 | 2005-02-03 | Joel Gilbert | Method and apparatus for trading energy commitments |
US6857022B1 (en) * | 2000-02-02 | 2005-02-15 | Worldlingo.Com Pty Ltd | Translation ordering system |
US6865685B2 (en) | 2001-03-20 | 2005-03-08 | American Power Conversion | Power supply event notification system for sending an electronic notification to multiple destinations |
US20050152694A1 (en) | 2002-07-22 | 2005-07-14 | David Chown | Transmission of supervisory data in an optical communication system |
US20050172304A1 (en) | 2003-11-28 | 2005-08-04 | David Tavares | Event management system |
US20050194456A1 (en) | 2004-03-02 | 2005-09-08 | Tessier Patrick C. | Wireless controller with gateway |
US20050229220A1 (en) | 2004-04-06 | 2005-10-13 | William Fisher | System and method for interactive video services |
US20050262026A1 (en) | 2004-05-13 | 2005-11-24 | Watkins Daniel R | Authorisation system |
US6985087B2 (en) | 2002-03-15 | 2006-01-10 | Qualcomm Inc. | Method and apparatus for wireless remote telemetry using ad-hoc networks |
US20060047369A1 (en) | 2002-12-09 | 2006-03-02 | Brewster David B | Aggregation of distributed energy resources |
US7010700B1 (en) * | 1997-10-31 | 2006-03-07 | Cisco Technology, Inc. | Data scanning network security technique |
US7069309B1 (en) | 2000-10-19 | 2006-06-27 | Cisco Technology, Inc. | Apparatus and methods for requesting an event notification over a network |
US20070005195A1 (en) | 2005-01-10 | 2007-01-04 | Nicholas Pasquale | Distributed energy storage for reducing power demand |
US7260616B1 (en) | 2001-08-13 | 2007-08-21 | Sprint Communications Company L.P. | Communication hub with automatic device registration |
US20070222295A1 (en) | 2002-09-05 | 2007-09-27 | Paul Wareham | System and method for power load management |
US20080046715A1 (en) * | 2006-07-25 | 2008-02-21 | Balazs Alex G | Method and apparatus for converting authentication-tokens to facilitate interactions between applications |
US7337237B2 (en) | 2002-10-16 | 2008-02-26 | International Business Machines Corporation | Mechanism to provide callback capabilities for unreachable network clients |
US7392115B2 (en) | 2006-03-01 | 2008-06-24 | Honeywell International Inc. | Characterization of utility demand using utility demand footprint |
US20080167931A1 (en) | 2007-01-04 | 2008-07-10 | Richard Allen Gerstemeier | Community resource management systems and methods |
US20080172312A1 (en) | 2006-09-25 | 2008-07-17 | Andreas Joanni Synesiou | System and method for resource management |
US20080177678A1 (en) | 2007-01-24 | 2008-07-24 | Paul Di Martini | Method of communicating between a utility and its customer locations |
US20080183316A1 (en) * | 2007-01-26 | 2008-07-31 | Autani Corporation | Upgradeable Automation Devices, Systems, Architectures, and Methods |
US20080262848A1 (en) * | 2005-01-06 | 2008-10-23 | Eric Shienbrood | Applications Server and Method |
US20090001181A1 (en) | 2007-06-28 | 2009-01-01 | Honeywell International Inc. | Thermostat with usage history |
US20090001180A1 (en) | 2007-06-28 | 2009-01-01 | Honeywell International Inc. | Thermostat with utility messaging |
US20090046625A1 (en) | 2002-04-22 | 2009-02-19 | Diener Neil R | System and Method for Management of a Shared Frequency Band |
US20090077397A1 (en) * | 2007-09-13 | 2009-03-19 | Gridpoint, Inc. | User interface for demand side energy management |
US20090092062A1 (en) | 2007-10-05 | 2009-04-09 | Edward Lee Koch | Critical resource notification system and interface device |
US7528503B2 (en) | 2005-07-22 | 2009-05-05 | Cannon Technologies, Inc. | Load shedding control for cycled or variable load appliances |
US7565227B2 (en) | 2007-08-15 | 2009-07-21 | Constellation Energy Group, Inc. | Multi-building control for demand response power usage control |
US20090187499A1 (en) | 2008-01-21 | 2009-07-23 | David Mulder | System, Method and Computer Program Product for Providing Demand Response Functionality |
US20090198384A1 (en) | 2008-02-05 | 2009-08-06 | Ls Industrial Systems Co., Ltd. | Electronic smart meter enabling demand response and method for demand response |
US20090271255A1 (en) | 2008-04-24 | 2009-10-29 | Microsoft Corporation | Commerce and advertisement based on explicit consumer's value cost proposition |
US20090281674A1 (en) | 2008-05-09 | 2009-11-12 | Taft Jeffrey D | Method and system for managing a power grid |
US20090297488A1 (en) | 2001-12-07 | 2009-12-03 | John K Fraser | Methods of using regenerative cells in the treatment of peripheral vascular disease and related disorders |
US20090295594A1 (en) | 2008-06-03 | 2009-12-03 | Snu R&Db Foundation | Demand response method and system |
US20090313083A1 (en) | 2008-06-13 | 2009-12-17 | Honeywell International Inc. | Renewable energy calculator |
US20090319090A1 (en) | 2008-06-19 | 2009-12-24 | Honeywell International Inc. | Energy optimization system |
US20090326726A1 (en) | 2008-06-25 | 2009-12-31 | Versify Solutions, Llc | Aggregator, monitor, and manager of distributed demand response |
US7650289B2 (en) | 2002-06-04 | 2010-01-19 | Global Sensor Systems, Inc. | Billing system and method for determining transportation charges for packages |
US20100057480A1 (en) | 2008-08-27 | 2010-03-04 | David Arfin | Energy Services |
US7676657B2 (en) | 2003-12-18 | 2010-03-09 | Nvidia Corporation | Across-thread out-of-order instruction dispatch in a multithreaded microprocessor |
US20100076835A1 (en) | 2008-05-27 | 2010-03-25 | Lawrence Silverman | Variable incentive and virtual market system |
US20100076615A1 (en) | 2008-09-13 | 2010-03-25 | Moixa Energy Holdings Limited | Systems, devices and methods for electricity provision, usage monitoring, analysis, and enabling improvements in efficiency |
US20100088261A1 (en) | 2008-10-08 | 2010-04-08 | Rey Montalvo | Method and system for fully automated energy curtailment |
US7702424B2 (en) | 2003-08-20 | 2010-04-20 | Cannon Technologies, Inc. | Utility load control management communications protocol |
US20100106342A1 (en) | 2008-10-28 | 2010-04-29 | Korea Electric Power Corporation | Day-ahead load reduction system based on customer baseline load |
US20100106543A1 (en) | 2008-10-28 | 2010-04-29 | Honeywell International Inc. | Building management configuration system |
US20100114340A1 (en) | 2008-06-02 | 2010-05-06 | Charles Huizenga | Automatic provisioning of wireless control systems |
US20100138363A1 (en) | 2009-06-12 | 2010-06-03 | Microsoft Corporation | Smart grid price response service for dynamically balancing energy supply and demand |
US7742953B2 (en) | 2004-02-15 | 2010-06-22 | Exbiblio B.V. | Adding information or functionality to a rendered document via association with an electronic counterpart |
US7775191B2 (en) | 2002-05-10 | 2010-08-17 | Tmc Company | Constant-speed multi-pressure fuel injection system for improved dynamic range in internal combustion engine |
US7797009B2 (en) | 2005-11-17 | 2010-09-14 | Silver Spring Networks, Inc. | Method and system for providing a network protocol for utility services |
US20100241285A1 (en) * | 2009-03-17 | 2010-09-23 | Palo Alto Research Center Incorporated | Technique for aggregating loads with time-varying operating cycles |
US20100274377A1 (en) | 2009-04-24 | 2010-10-28 | Rockwell Automation Technologies, Inc. | Discrete energy assignments for manufacturing specifications |
US20100283606A1 (en) | 2009-05-08 | 2010-11-11 | Boris Tsypin | Building energy consumption analysis system |
US7845576B2 (en) | 2007-06-28 | 2010-12-07 | Honeywell International Inc. | Thermostat with fixed segment display having both fixed segment icons and a variable text display capacity |
US20100324962A1 (en) | 2009-06-22 | 2010-12-23 | Johnson Controls Technology Company | Smart building manager |
US7885718B2 (en) | 2001-01-10 | 2011-02-08 | Panasonic Corporation | Component mounting apparatus, service providing device and servicing method |
US20110040550A1 (en) | 2009-07-24 | 2011-02-17 | Honeywell International Inc. | Energy resource allocation including renewable energy sources |
US20110040666A1 (en) | 2009-08-17 | 2011-02-17 | Jason Crabtree | Dynamic pricing system and method for complex energy securities |
US20110046805A1 (en) | 2009-08-18 | 2011-02-24 | Honeywell International Inc. | Context-aware smart home energy manager |
US20110093493A1 (en) | 2008-10-28 | 2011-04-21 | Honeywell International Inc. | Building management system site categories |
US7941528B2 (en) | 2007-10-11 | 2011-05-10 | At&T Intellectual Property I, L.P. | Methods, systems and computer program products for providing a multimedia applications gateway |
US20110113068A1 (en) | 2009-11-12 | 2011-05-12 | Xinfang Zhao | System and method for managing multiple user registrations |
US7958229B2 (en) | 2008-03-31 | 2011-06-07 | Verizon Patent And Licensing Inc. | Method and system for energy efficient routing and network services |
US20110172838A1 (en) | 2010-01-08 | 2011-07-14 | Rockwell Automation Technologies, Inc. | Industrial control energy object |
US20110172836A1 (en) | 2010-01-08 | 2011-07-14 | International Business Machines Corporation | Power profile management method and system |
US20110196546A1 (en) | 2010-02-09 | 2011-08-11 | Open Access Technology International, Inc. | Systems and methods for demand response and distributed energy resource management |
US20110196539A1 (en) | 2010-02-10 | 2011-08-11 | Honeywell International Inc. | Multi-site controller batch update system |
US20110212700A1 (en) | 2001-10-24 | 2011-09-01 | Sipco, Llc | Systems and methods for providing emergency messages to a mobile device |
US8023410B2 (en) | 2001-06-26 | 2011-09-20 | Qualcomm Incorporated | Messages and control methods for controlling resource allocation and flow admission control in a mobile communications system |
US20110231320A1 (en) | 2009-12-22 | 2011-09-22 | Irving Gary W | Energy management systems and methods |
US20110258049A1 (en) | 2005-09-14 | 2011-10-20 | Jorey Ramer | Integrated Advertising System |
US20110301774A1 (en) | 2009-07-17 | 2011-12-08 | Honeywell International Inc. | System for using attributes to deploy demand response resources |
US20120066686A1 (en) | 2009-07-17 | 2012-03-15 | Honeywell International Inc. | Demand response system incorporating a graphical processing unit |
US8140658B1 (en) | 1999-10-06 | 2012-03-20 | Borgia/Cummins, Llc | Apparatus for internetworked wireless integrated network sensors (WINS) |
US20120093141A1 (en) | 2009-08-21 | 2012-04-19 | Imes Kevin R | Proximity control using wifi connection |
US8163276B2 (en) | 2001-12-07 | 2012-04-24 | Cytori Therapeutics, Inc. | Systems and methods for isolating and using clinically safe adipose derived regenerative cells |
US8170774B2 (en) | 2006-03-30 | 2012-05-01 | Eldor Corporation S.P.A. | Method and devices for the control of the air-fuel ratio of an internal combustion engine |
US20120109399A1 (en) | 2012-01-01 | 2012-05-03 | Bao Tran | Energy resource conservation systems and methods |
US8183995B2 (en) | 2005-03-08 | 2012-05-22 | Jackson Kit Wang | Systems and methods for modifying power usage |
US20120136915A1 (en) | 2009-07-17 | 2012-05-31 | Honeywell International Inc. | Installation system for demand response resources |
US8199773B2 (en) | 2004-12-07 | 2012-06-12 | Rockstar Bidco, LP | Method and apparatus for assigning and allocating network resources to packet-based virtual private networks |
US20120173030A1 (en) | 2009-02-11 | 2012-07-05 | Accenture Global Services Limited | Method and system for reducing feeder circuit loss using demand response |
US8232745B2 (en) | 2008-04-14 | 2012-07-31 | Digital Lumens Incorporated | Modular lighting systems |
US20120197456A1 (en) | 2011-01-28 | 2012-08-02 | Honeywell International Inc. | Approach for normalizing automated demand response events in energy management control systems |
US20120197458A1 (en) | 2011-01-28 | 2012-08-02 | Honeywell International Inc. | Management and monitoring of automated demand response in a multi-site enterprise |
US20120197457A1 (en) | 2011-01-28 | 2012-08-02 | Honeywell International Inc. | Approach for managing distribution of automated demand response events in a multi-site enterprise |
US8234876B2 (en) | 2003-10-15 | 2012-08-07 | Ice Energy, Inc. | Utility managed virtual power plant utilizing aggregated thermal energy storage |
US8260650B2 (en) | 2006-02-21 | 2012-09-04 | Intelligent Ip Corp. | Transportation scheduling system |
US20120245968A1 (en) | 2011-03-21 | 2012-09-27 | Honeywell International Inc. | Building system control and equipment fault and degradation monetization and prioritization |
US8291243B2 (en) | 2008-10-24 | 2012-10-16 | International Business Machines Corporation | Adaptive computing responsive to environmental conditions |
US20120271473A1 (en) | 2009-07-17 | 2012-10-25 | Honeywell International Inc. | Use of aggregated groups for managing demand response resources |
US20120277920A1 (en) | 2009-07-17 | 2012-11-01 | Honeywell International Inc. | Arrangement for communication about and management of a resource using a mobile device |
US8327024B2 (en) | 2006-04-29 | 2012-12-04 | 724 Solutions Software, Inc. | System and method for SMS/IP interoperability |
US20130035992A1 (en) | 2008-05-27 | 2013-02-07 | Kaspar Llc | Method and system for the more efficient utilization and conservation of energy and water resources |
US8373547B2 (en) | 2006-05-25 | 2013-02-12 | Nev Electronics Llc | Method and apparatus for using power-line phase-cut signaling to change energy usage |
US8406937B2 (en) | 2008-03-27 | 2013-03-26 | Orion Energy Systems, Inc. | System and method for reducing peak and off-peak electricity demand by monitoring, controlling and metering high intensity fluorescent lighting in a facility |
US20130079931A1 (en) | 2011-09-26 | 2013-03-28 | Mohan Wanchoo | Method and system to monitor and control energy |
US8417391B1 (en) | 2011-12-15 | 2013-04-09 | Restore Nv | Automated demand response energy management system |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7379884B2 (en) * | 2003-09-11 | 2008-05-27 | International Business Machines Corporation | Power on demand tiered response time pricing |
JP3992195B2 (en) * | 2003-11-26 | 2007-10-17 | 株式会社日立製作所 | Air conditioner |
US7603570B2 (en) * | 2004-05-13 | 2009-10-13 | Cisco Technology, Inc. | Power delivery over ethernet cables |
US20070282984A1 (en) * | 2006-06-05 | 2007-12-06 | Doyle Ronald P | Autonomic web services pricing management |
BRPI0822047A8 (en) * | 2007-12-19 | 2018-10-23 | Aclara Power Line Systems Inc | methods of controlling demand response of electricity consumers in electricity supply system |
-
2010
- 2010-07-12 US US12/834,841 patent/US8671167B2/en active Active
- 2010-07-13 CN CN201080041415.3A patent/CN102483735B/en not_active Expired - Fee Related
- 2010-07-13 WO PCT/US2010/041852 patent/WO2011008775A2/en active Application Filing
- 2010-07-13 CN CN201610233078.7A patent/CN105786627B/en not_active Expired - Fee Related
-
2012
- 2012-01-17 IN IN484DEN2012 patent/IN2012DN00484A/en unknown
Patent Citations (148)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4110827A (en) | 1976-10-29 | 1978-08-29 | Honeywell Inc. | Load cycling with space temperature feedback |
US4130874A (en) | 1977-06-13 | 1978-12-19 | Westinghouse Electric Corp. | Load management terminal having plural selectable address formats for a power line communication system |
US4153936A (en) | 1977-09-26 | 1979-05-08 | Reliance Electric Company | Energy management system |
US4419667A (en) | 1979-07-02 | 1983-12-06 | Sangamo Weston, Inc. | System for controlling power distribution to customer loads |
US4850010A (en) | 1985-11-25 | 1989-07-18 | Alcatel N.V. | Telemetry terminal |
US5341142A (en) * | 1987-07-24 | 1994-08-23 | Northrop Grumman Corporation | Target acquisition and tracking system |
US4937760A (en) * | 1988-09-19 | 1990-06-26 | International Business Machines Corporation | Method for sharing common values implicitly among communicating generative objects |
US5500561A (en) | 1991-01-08 | 1996-03-19 | Wilhelm; William G. | Customer side power management system and method |
US5566084A (en) | 1993-03-02 | 1996-10-15 | Cmar; Gregory | Process for identifying patterns of electric energy effects of proposed changes, and implementing such changes in the facility to conserve energy |
US5598349A (en) | 1994-10-25 | 1997-01-28 | Honeywell Inc. | Responding to pricing signals from a power supplier using mixed add/shed and profile setback delta schemes |
US7346467B2 (en) | 1994-10-25 | 2008-03-18 | Honeywell International Inc. | Profile based method for deriving a temperature setpoint using a ‘delta’ based on cross-indexing a received price-point level signal |
US6574581B1 (en) | 1994-10-25 | 2003-06-03 | Honeywell International Inc. | Profile based method for deriving a temperature setpoint using a ‘delta’ based on cross-indexing a received price-point level signal |
US5719854A (en) | 1994-11-23 | 1998-02-17 | Lucent Technologies Inc. | Efficiently providing multiple grades of service with protection against overloads in shared resources |
US5572438A (en) | 1995-01-05 | 1996-11-05 | Teco Energy Management Services | Engery management and building automation system |
US5822553A (en) | 1996-03-13 | 1998-10-13 | Diamond Multimedia Systems, Inc. | Multiple parallel digital data stream channel controller architecture |
US5892758A (en) | 1996-07-11 | 1999-04-06 | Qualcomm Incorporated | Concentrated subscriber wireless remote telemetry system |
US6278717B1 (en) | 1996-09-05 | 2001-08-21 | Hughes Electronics Corporation | Dynamic mapping of broadcast resources |
US6259723B1 (en) | 1997-05-20 | 2001-07-10 | Fujitsu Limited | Data communication system |
US7010700B1 (en) * | 1997-10-31 | 2006-03-07 | Cisco Technology, Inc. | Data scanning network security technique |
US6209018B1 (en) | 1997-11-13 | 2001-03-27 | Sun Microsystems, Inc. | Service framework for a distributed object network system |
US6026375A (en) | 1997-12-05 | 2000-02-15 | Nortel Networks Corporation | Method and apparatus for processing orders from customers in a mobile environment |
US6195367B1 (en) | 1997-12-31 | 2001-02-27 | Nortel Networks Limited | Architectural arrangement for bandwidth management in large central offices |
US6289384B1 (en) | 1998-06-05 | 2001-09-11 | I2 Technologies, Inc. | System and method for event notification through a firewall |
US6252950B1 (en) | 1998-09-30 | 2001-06-26 | Lucent Technologies Inc. | Predictive bursty real-time traffic control for telecommunications switching systems |
US6366926B1 (en) | 1998-12-31 | 2002-04-02 | Computer Associates Think, Inc. | Method and apparatus for the dynamic filtering and routing of events |
US6446136B1 (en) | 1998-12-31 | 2002-09-03 | Computer Associates Think, Inc. | System and method for dynamic correlation of events |
US6529723B1 (en) | 1999-07-06 | 2003-03-04 | Televoke, Inc. | Automated user notification system |
US8140658B1 (en) | 1999-10-06 | 2012-03-20 | Borgia/Cummins, Llc | Apparatus for internetworked wireless integrated network sensors (WINS) |
US6857022B1 (en) * | 2000-02-02 | 2005-02-15 | Worldlingo.Com Pty Ltd | Translation ordering system |
US6832249B2 (en) | 2000-05-19 | 2004-12-14 | Intellectual Ventures Patent Holdings Iii, Llc | Globally accessible computer network-based broadband communication system with user-controllable quality of information delivery and flow priority |
US6519509B1 (en) | 2000-06-22 | 2003-02-11 | Stonewater Software, Inc. | System and method for monitoring and controlling energy distribution |
US7069309B1 (en) | 2000-10-19 | 2006-06-27 | Cisco Technology, Inc. | Apparatus and methods for requesting an event notification over a network |
US7885718B2 (en) | 2001-01-10 | 2011-02-08 | Panasonic Corporation | Component mounting apparatus, service providing device and servicing method |
US20030016237A1 (en) * | 2001-03-08 | 2003-01-23 | Neil Hickey | System for and method of emulating a database system |
US6865685B2 (en) | 2001-03-20 | 2005-03-08 | American Power Conversion | Power supply event notification system for sending an electronic notification to multiple destinations |
US8023410B2 (en) | 2001-06-26 | 2011-09-20 | Qualcomm Incorporated | Messages and control methods for controlling resource allocation and flow admission control in a mobile communications system |
US20040078154A1 (en) | 2001-06-28 | 2004-04-22 | Hunter Robert R. | Method and apparatus for reading and controlling utility consumption |
US20030033230A1 (en) | 2001-08-06 | 2003-02-13 | Mccall John E. | Method and system for presenting customized advisory information |
US7260616B1 (en) | 2001-08-13 | 2007-08-21 | Sprint Communications Company L.P. | Communication hub with automatic device registration |
US20110212700A1 (en) | 2001-10-24 | 2011-09-01 | Sipco, Llc | Systems and methods for providing emergency messages to a mobile device |
US20030135508A1 (en) * | 2001-11-21 | 2003-07-17 | Dominic Chorafakis | Translating configuration files among network devices |
US20090297488A1 (en) | 2001-12-07 | 2009-12-03 | John K Fraser | Methods of using regenerative cells in the treatment of peripheral vascular disease and related disorders |
US8163276B2 (en) | 2001-12-07 | 2012-04-24 | Cytori Therapeutics, Inc. | Systems and methods for isolating and using clinically safe adipose derived regenerative cells |
US6985087B2 (en) | 2002-03-15 | 2006-01-10 | Qualcomm Inc. | Method and apparatus for wireless remote telemetry using ad-hoc networks |
US20090046625A1 (en) | 2002-04-22 | 2009-02-19 | Diener Neil R | System and Method for Management of a Shared Frequency Band |
US7806845B2 (en) | 2002-04-24 | 2010-10-05 | Biomet Biologics, Llc | Blood separation and concentration system |
US20030233064A1 (en) | 2002-04-24 | 2003-12-18 | Interpore Orthopaedics | Blood separation and concentration system |
US7775191B2 (en) | 2002-05-10 | 2010-08-17 | Tmc Company | Constant-speed multi-pressure fuel injection system for improved dynamic range in internal combustion engine |
US7650289B2 (en) | 2002-06-04 | 2010-01-19 | Global Sensor Systems, Inc. | Billing system and method for determining transportation charges for packages |
US20040034484A1 (en) | 2002-06-24 | 2004-02-19 | Solomita Michael V. | Demand-response energy management system |
US6566926B1 (en) | 2002-06-25 | 2003-05-20 | Intel Corporation | Hysteretic self-biased amplifier |
US20040203649A1 (en) | 2002-07-22 | 2004-10-14 | Cashiola James P. | System and method for rating communications services provisioned on demand in converging telecommunications networks |
US20050152694A1 (en) | 2002-07-22 | 2005-07-14 | David Chown | Transmission of supervisory data in an optical communication system |
US20070222295A1 (en) | 2002-09-05 | 2007-09-27 | Paul Wareham | System and method for power load management |
US7337237B2 (en) | 2002-10-16 | 2008-02-26 | International Business Machines Corporation | Mechanism to provide callback capabilities for unreachable network clients |
US20060047369A1 (en) | 2002-12-09 | 2006-03-02 | Brewster David B | Aggregation of distributed energy resources |
US20040137897A1 (en) | 2003-05-06 | 2004-07-15 | Joe Teixeira | Flow-through using an automated main distribution frame |
US20050027636A1 (en) | 2003-07-29 | 2005-02-03 | Joel Gilbert | Method and apparatus for trading energy commitments |
US7702424B2 (en) | 2003-08-20 | 2010-04-20 | Cannon Technologies, Inc. | Utility load control management communications protocol |
US8234876B2 (en) | 2003-10-15 | 2012-08-07 | Ice Energy, Inc. | Utility managed virtual power plant utilizing aggregated thermal energy storage |
US20090204977A1 (en) | 2003-11-28 | 2009-08-13 | Globestar Systems | Event management system |
US20050172304A1 (en) | 2003-11-28 | 2005-08-04 | David Tavares | Event management system |
US7676657B2 (en) | 2003-12-18 | 2010-03-09 | Nvidia Corporation | Across-thread out-of-order instruction dispatch in a multithreaded microprocessor |
US7742953B2 (en) | 2004-02-15 | 2010-06-22 | Exbiblio B.V. | Adding information or functionality to a rendered document via association with an electronic counterpart |
US20080011864A1 (en) | 2004-03-02 | 2008-01-17 | Honeywell International Inc. | Wireless controller with gateway |
US20100168924A1 (en) | 2004-03-02 | 2010-07-01 | Honeywell International Inc. | Wireless controller with gateway |
US20050194456A1 (en) | 2004-03-02 | 2005-09-08 | Tessier Patrick C. | Wireless controller with gateway |
US20050229220A1 (en) | 2004-04-06 | 2005-10-13 | William Fisher | System and method for interactive video services |
US20050262026A1 (en) | 2004-05-13 | 2005-11-24 | Watkins Daniel R | Authorisation system |
US8199773B2 (en) | 2004-12-07 | 2012-06-12 | Rockstar Bidco, LP | Method and apparatus for assigning and allocating network resources to packet-based virtual private networks |
US20080262848A1 (en) * | 2005-01-06 | 2008-10-23 | Eric Shienbrood | Applications Server and Method |
US20070005195A1 (en) | 2005-01-10 | 2007-01-04 | Nicholas Pasquale | Distributed energy storage for reducing power demand |
US8183995B2 (en) | 2005-03-08 | 2012-05-22 | Jackson Kit Wang | Systems and methods for modifying power usage |
US7528503B2 (en) | 2005-07-22 | 2009-05-05 | Cannon Technologies, Inc. | Load shedding control for cycled or variable load appliances |
US20110258049A1 (en) | 2005-09-14 | 2011-10-20 | Jorey Ramer | Integrated Advertising System |
US7797009B2 (en) | 2005-11-17 | 2010-09-14 | Silver Spring Networks, Inc. | Method and system for providing a network protocol for utility services |
US8260650B2 (en) | 2006-02-21 | 2012-09-04 | Intelligent Ip Corp. | Transportation scheduling system |
US7392115B2 (en) | 2006-03-01 | 2008-06-24 | Honeywell International Inc. | Characterization of utility demand using utility demand footprint |
US8170774B2 (en) | 2006-03-30 | 2012-05-01 | Eldor Corporation S.P.A. | Method and devices for the control of the air-fuel ratio of an internal combustion engine |
US8327024B2 (en) | 2006-04-29 | 2012-12-04 | 724 Solutions Software, Inc. | System and method for SMS/IP interoperability |
US8373547B2 (en) | 2006-05-25 | 2013-02-12 | Nev Electronics Llc | Method and apparatus for using power-line phase-cut signaling to change energy usage |
US20080046715A1 (en) * | 2006-07-25 | 2008-02-21 | Balazs Alex G | Method and apparatus for converting authentication-tokens to facilitate interactions between applications |
US20080172312A1 (en) | 2006-09-25 | 2008-07-17 | Andreas Joanni Synesiou | System and method for resource management |
US20080167931A1 (en) | 2007-01-04 | 2008-07-10 | Richard Allen Gerstemeier | Community resource management systems and methods |
US20080177678A1 (en) | 2007-01-24 | 2008-07-24 | Paul Di Martini | Method of communicating between a utility and its customer locations |
US20080183316A1 (en) * | 2007-01-26 | 2008-07-31 | Autani Corporation | Upgradeable Automation Devices, Systems, Architectures, and Methods |
US20110199209A1 (en) | 2007-06-28 | 2011-08-18 | Honeywell International Inc. | Thermostat with utility messaging |
US7845576B2 (en) | 2007-06-28 | 2010-12-07 | Honeywell International Inc. | Thermostat with fixed segment display having both fixed segment icons and a variable text display capacity |
US20090001181A1 (en) | 2007-06-28 | 2009-01-01 | Honeywell International Inc. | Thermostat with usage history |
US20090001180A1 (en) | 2007-06-28 | 2009-01-01 | Honeywell International Inc. | Thermostat with utility messaging |
US7565227B2 (en) | 2007-08-15 | 2009-07-21 | Constellation Energy Group, Inc. | Multi-building control for demand response power usage control |
US7886166B2 (en) * | 2007-09-13 | 2011-02-08 | Gridpoint, Inc. | User interface for demand side energy management |
US20090077397A1 (en) * | 2007-09-13 | 2009-03-19 | Gridpoint, Inc. | User interface for demand side energy management |
US20120066397A1 (en) | 2007-10-05 | 2012-03-15 | Honeywell International Inc. | Critical resource notification system and interface device |
US20090092062A1 (en) | 2007-10-05 | 2009-04-09 | Edward Lee Koch | Critical resource notification system and interface device |
US8073558B2 (en) | 2007-10-05 | 2011-12-06 | Honeywell International Inc | Critical resource notification system and interface device |
US7941528B2 (en) | 2007-10-11 | 2011-05-10 | At&T Intellectual Property I, L.P. | Methods, systems and computer program products for providing a multimedia applications gateway |
US20090187499A1 (en) | 2008-01-21 | 2009-07-23 | David Mulder | System, Method and Computer Program Product for Providing Demand Response Functionality |
US20090198384A1 (en) | 2008-02-05 | 2009-08-06 | Ls Industrial Systems Co., Ltd. | Electronic smart meter enabling demand response and method for demand response |
US8406937B2 (en) | 2008-03-27 | 2013-03-26 | Orion Energy Systems, Inc. | System and method for reducing peak and off-peak electricity demand by monitoring, controlling and metering high intensity fluorescent lighting in a facility |
US7958229B2 (en) | 2008-03-31 | 2011-06-07 | Verizon Patent And Licensing Inc. | Method and system for energy efficient routing and network services |
US8232745B2 (en) | 2008-04-14 | 2012-07-31 | Digital Lumens Incorporated | Modular lighting systems |
US20090271255A1 (en) | 2008-04-24 | 2009-10-29 | Microsoft Corporation | Commerce and advertisement based on explicit consumer's value cost proposition |
US20090281674A1 (en) | 2008-05-09 | 2009-11-12 | Taft Jeffrey D | Method and system for managing a power grid |
US20100076835A1 (en) | 2008-05-27 | 2010-03-25 | Lawrence Silverman | Variable incentive and virtual market system |
US20130035992A1 (en) | 2008-05-27 | 2013-02-07 | Kaspar Llc | Method and system for the more efficient utilization and conservation of energy and water resources |
US7925384B2 (en) | 2008-06-02 | 2011-04-12 | Adura Technologies, Inc. | Location-based provisioning of wireless control systems |
US20100114340A1 (en) | 2008-06-02 | 2010-05-06 | Charles Huizenga | Automatic provisioning of wireless control systems |
US20090295594A1 (en) | 2008-06-03 | 2009-12-03 | Snu R&Db Foundation | Demand response method and system |
US20090313083A1 (en) | 2008-06-13 | 2009-12-17 | Honeywell International Inc. | Renewable energy calculator |
US20090319090A1 (en) | 2008-06-19 | 2009-12-24 | Honeywell International Inc. | Energy optimization system |
US8260468B2 (en) | 2008-06-25 | 2012-09-04 | Versify Solutions, Inc. | Aggregator, monitor, and manager of distributed demand response |
US20090326726A1 (en) | 2008-06-25 | 2009-12-31 | Versify Solutions, Llc | Aggregator, monitor, and manager of distributed demand response |
US20100057480A1 (en) | 2008-08-27 | 2010-03-04 | David Arfin | Energy Services |
US20100076615A1 (en) | 2008-09-13 | 2010-03-25 | Moixa Energy Holdings Limited | Systems, devices and methods for electricity provision, usage monitoring, analysis, and enabling improvements in efficiency |
US20100088261A1 (en) | 2008-10-08 | 2010-04-08 | Rey Montalvo | Method and system for fully automated energy curtailment |
US8291243B2 (en) | 2008-10-24 | 2012-10-16 | International Business Machines Corporation | Adaptive computing responsive to environmental conditions |
US20110093493A1 (en) | 2008-10-28 | 2011-04-21 | Honeywell International Inc. | Building management system site categories |
US20100106342A1 (en) | 2008-10-28 | 2010-04-29 | Korea Electric Power Corporation | Day-ahead load reduction system based on customer baseline load |
US20100106543A1 (en) | 2008-10-28 | 2010-04-29 | Honeywell International Inc. | Building management configuration system |
US20120173030A1 (en) | 2009-02-11 | 2012-07-05 | Accenture Global Services Limited | Method and system for reducing feeder circuit loss using demand response |
US20100241285A1 (en) * | 2009-03-17 | 2010-09-23 | Palo Alto Research Center Incorporated | Technique for aggregating loads with time-varying operating cycles |
US20100274377A1 (en) | 2009-04-24 | 2010-10-28 | Rockwell Automation Technologies, Inc. | Discrete energy assignments for manufacturing specifications |
US20100283606A1 (en) | 2009-05-08 | 2010-11-11 | Boris Tsypin | Building energy consumption analysis system |
US20100138363A1 (en) | 2009-06-12 | 2010-06-03 | Microsoft Corporation | Smart grid price response service for dynamically balancing energy supply and demand |
US20100324962A1 (en) | 2009-06-22 | 2010-12-23 | Johnson Controls Technology Company | Smart building manager |
US20120271473A1 (en) | 2009-07-17 | 2012-10-25 | Honeywell International Inc. | Use of aggregated groups for managing demand response resources |
US20120066686A1 (en) | 2009-07-17 | 2012-03-15 | Honeywell International Inc. | Demand response system incorporating a graphical processing unit |
US20120277920A1 (en) | 2009-07-17 | 2012-11-01 | Honeywell International Inc. | Arrangement for communication about and management of a resource using a mobile device |
US20110301774A1 (en) | 2009-07-17 | 2011-12-08 | Honeywell International Inc. | System for using attributes to deploy demand response resources |
US20120136915A1 (en) | 2009-07-17 | 2012-05-31 | Honeywell International Inc. | Installation system for demand response resources |
US20110040550A1 (en) | 2009-07-24 | 2011-02-17 | Honeywell International Inc. | Energy resource allocation including renewable energy sources |
US20110040666A1 (en) | 2009-08-17 | 2011-02-17 | Jason Crabtree | Dynamic pricing system and method for complex energy securities |
US20110046805A1 (en) | 2009-08-18 | 2011-02-24 | Honeywell International Inc. | Context-aware smart home energy manager |
US20120093141A1 (en) | 2009-08-21 | 2012-04-19 | Imes Kevin R | Proximity control using wifi connection |
US20110113068A1 (en) | 2009-11-12 | 2011-05-12 | Xinfang Zhao | System and method for managing multiple user registrations |
US20110231320A1 (en) | 2009-12-22 | 2011-09-22 | Irving Gary W | Energy management systems and methods |
US20110172838A1 (en) | 2010-01-08 | 2011-07-14 | Rockwell Automation Technologies, Inc. | Industrial control energy object |
US20110172836A1 (en) | 2010-01-08 | 2011-07-14 | International Business Machines Corporation | Power profile management method and system |
US20110196546A1 (en) | 2010-02-09 | 2011-08-11 | Open Access Technology International, Inc. | Systems and methods for demand response and distributed energy resource management |
US20110196539A1 (en) | 2010-02-10 | 2011-08-11 | Honeywell International Inc. | Multi-site controller batch update system |
US20120197457A1 (en) | 2011-01-28 | 2012-08-02 | Honeywell International Inc. | Approach for managing distribution of automated demand response events in a multi-site enterprise |
US20120197458A1 (en) | 2011-01-28 | 2012-08-02 | Honeywell International Inc. | Management and monitoring of automated demand response in a multi-site enterprise |
US20120197456A1 (en) | 2011-01-28 | 2012-08-02 | Honeywell International Inc. | Approach for normalizing automated demand response events in energy management control systems |
US20120245968A1 (en) | 2011-03-21 | 2012-09-27 | Honeywell International Inc. | Building system control and equipment fault and degradation monetization and prioritization |
US20130079931A1 (en) | 2011-09-26 | 2013-03-28 | Mohan Wanchoo | Method and system to monitor and control energy |
US8417391B1 (en) | 2011-12-15 | 2013-04-09 | Restore Nv | Automated demand response energy management system |
US20120109399A1 (en) | 2012-01-01 | 2012-05-03 | Bao Tran | Energy resource conservation systems and methods |
Non-Patent Citations (44)
Title |
---|
"Smart Demand Response: A Discussion Paper," Energy Networks Association, energyuk, 44 pages, prior to Nov. 29, 2012. |
Abdullah et al., "Demand-Side Energy Management Performed Using Direct Feedback via Mobile Systems: Enables Utilities to Deploy Consumer Based Demand Response Programs," 2010 IEEE International Energy Conference and Exhibition, pp. 172-177, 2010. |
Coughlin et al., "Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings in California," Lawrence Berkeley National Laboratory, Report No. LBNL-63728, 33 pages, Jan. 2008. |
Cruz, "Tutorial on GPU Computing with an Introduction to CUDA," 37 pages, prior to Nov. 17, 2011. |
European Search Report for Related Application No. EP 12169650.4, Dated Nov. 22, 2012. |
Holmberg, "Facility Interface to the Smart Grid," National Institute of Standards and Technology, 7 pages, printed 2012. |
Honeywell, "Automated Demand Response-Southern California Program," 2 pages, printed Aug. 1, 2011. |
Honeywell, "The Perfect Response to Peak Events," 4 pages, Nov. 2010. |
http://en.wikipedia.org/wiki/Demand-response, "Demand Response," 10 pages, printed Feb. 3, 2012. |
http://www.naesb.org/pdf3/dsmee012308213.doc, "Demand Response Measurement and Verification Literature Review," 29 pages, created Jan. 14, 2008, modified Dec. 18, 2012. |
https://buildingsolutions.honeywell.com/Cultures/en-US/Markets/Utilities/DemandResponse/, 1page, printed Feb. 3, 2012. |
Hunt, "Automated Demand Response System and Advanced End-Use Services Platform," Optimal Technologies, 31, pages, Sep. 24, 2004. |
International Search Report for PCT ApplicationSerial No. pct/us2012/058537, International Filing Date Oct. 3, 2012. |
Kiliccote et al., "Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings," Lawrence Berkeley National Laboratory, Report No. LBNL-3643E, May 2010. |
Kiliccote et al., "Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services," Lawrence Berkeley National Laboratory, Report No. LBNL-2945E, 13 pages, Nov. 2009. |
Koch et al., "Architecture Concepts and Technical Issues for an Open, Interoperable Automated Demand Response Infrastructure," Berkeley National Laboratory, Report No. LBNL-63664, 7 pages, Oct. 2007. |
Koch et al., "Direct Versus Facility Centric Load Control for Automated Demand Response," Lawrence Berkeley National Laboratory, Report No. LBNL-2905E, 11 pages, Nov. 2009. |
Koch et al., "Open Automated Demand Response for Small Commercial Buildings," Lawrence Berkeley National Laboratory, Report No. LBNL-2195E, 104 pages, Jul. 2009. |
Koch et al., "Scenarios for Consuming Standardized Automated Demand Response Signals," Lawrence Berkeley National Laboratory, Report No. LBNL-1362E, 10 pages, Nov. 2008. |
Koch, "The Demand Response Automation Server (DRAS)," Building Performance, http://www.akuacom.com/assets/pdf/ASHRAE-2008-Ed-Koch.pdf, 18 pages, prior to Nov. 17, 2011. |
Olson, "New Approaches in Automating and Optimizing Demand Response to Solve Peak Load Management Problems," Building IQ brochure, 8 pages, 2011. |
Piette et al., "Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results," Berkeley National Laboratory, Report No. LBNL-62218, 67 pages, Aug. 2007. |
Piette et al., "Automated Critical Peak Pricing Field Tests: Program Description and Results," Berkeley National Laboratory, Report No. LBNL-59351, 67 pages, Apr. 2006. |
Piette et al., "Design and Implementation of an Open, Interoperable Automated Demand Response Infrastructure," Berkeley National Laboratory, Report No. LBNL-63665, 6 pages, Oct. 2007. |
Piette et al., "Findings From Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings," Berkeley National Laboratory, Report No. LBNL-3643E, 15 pages, May 2010. |
Piette et al., "Findings From the 2004 Fully Automated Demand Response Tests in Large Facilities," Lawrence Berkeley National Laboratory, Report No. LBNL-58178, 197 pages, Sep. 2005. |
Piette et al., "Linking Continuous Energy Management and Open Automated Demand Response," Lawrence Berkeley National Laboratory, Report No. LBNL-1361E, 9 pages, Nov. 2008. |
Piette et al., "Open Automated Demand Response Communications Specification," Version 1.0, CEC-500-2009-063, 214 pages, Apr. 2009. |
Piette et al., "Participation through Automation: Fully Automated Critical Peak Pricing in Commercial Buildings," Berkeley National Laboratory, Report No. LBNL-60614, 14 pages, Aug. 13-18, 2006. |
Schisler et al., "The Role of Demand Response in Ancillary Services Markets," IEEE, 3 pages, 2008. |
U.S. App. No. 13/019,943, filed Feb. 2, 2011. |
U.S. Appl. No. 12/895,640, filed Sep. 30, 2010. |
U.S. Appl. No. 13/016,181, filed Jan. 28, 2011. |
U.S. Appl. No. 13/016,265, filed Jan. 28, 2011. |
U.S. Appl. No. 13/016,306, filed Jan. 28, 2011. |
U.S. Appl. No. 13/272,086, filed Oct. 12, 2011. |
U.S. Appl. No. 13/298,706, filed Nov. 17, 2011. |
U.S. Appl. No. 13/299,716, filed Nov. 18, 2011. |
U.S. Appl. No. 13/621,195, filed Sep. 15, 2012. |
U.S. Appl. No. 13/689,551, filed Nov. 29, 2012. |
Violette et al., "DRR Valuation and Market Analysis vol. II: Assessing the DRR Benefits and Costs," Summit Blue Consulting, 112 pages, Jan. 6, 2006. |
Watson et al., "Machine to Machine (M2M) Technology in Demand Responsive Commercial Buildings," Berkeley National Laboratory, Report No. LBNL-55087, 18 pages, Aug. 2004. |
Yin et al., "Auto-DR and Pre-Cooling of Buildings at Tri-City Corporate Center," Lawrence Berkeley National Laboratory, Report No. LBNL-3348, 140 pages, Nov. 2008. |
Zaidi et al., "Load Recognition for Automated Demand Response in Microgrids," IEEE, pp. 2436-2439, 2010. |
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CN102483735B (en) | 2016-05-18 |
CN105786627A (en) | 2016-07-20 |
CN102483735A (en) | 2012-05-30 |
CN105786627B (en) | 2019-08-23 |
WO2011008775A3 (en) | 2011-04-28 |
IN2012DN00484A (en) | 2015-06-05 |
WO2011008775A2 (en) | 2011-01-20 |
US20110016200A1 (en) | 2011-01-20 |
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